Siamac Fazli

Associate Professor, Dept. of Computer Science, Nazarbayev University

Joined

January 2026

Names

Siamac Fazli (Preferred)

Emails

****@nu.edu.kz (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

Career & Education History

Associate Professor

Dept. of Computer Science, Nazarbayev University (nu.edu.kz)

2018 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

machine learning

2005 – Present

biomedical engineering

2005 – Present

Publications

Optimal Bayesian regression with a non-informative prior: Order-recursive and incremental learning
Samira Reihanian, Amin Zollanvari, Siamac Fazli
- Neurocomputing
- Readers: Everyone
Cluster Analysis in Diabetes Research: A Systematic Review Enhanced by a Cross-Sectional Study
Binura Taurbekova, Radmir Sarsenov, Muhammad M. Yaqoob, Kuralay Atageldiyeva, Yuliya Semenova, Siamac Fazli, Andrey Starodubov, Akmaral Angalieva, Antonio Sarria-Santamera
- Journal of Clinical Medicine
- Readers: Everyone
Advancing Activity Recognition With Multimodal Fusion and Transformer Techniques
Saltanat Aidarova, Temirlan Nurmakhan, Rakhat Myrzakhan, Siamac Fazli, Adnan Yazici
- IEEE Sensors Journal
- Readers: Everyone
Towards multi-modal oil spill detection and coverage in the Caspian Sea: a comprehensive approach
Alpamys Pentayev, Amirhossein Ahrari, Aziza Baubekova, Maksat Faizuldanov, Nurzhan Nurtayev, Alireza Sharifi, Ali Torabi Haghighi, Stefanos Xenarios, Siamac Fazli
- International Journal of Water Resources Development
- Readers: Everyone
DTA Atlas: A massive-scale drug repurposing database
Madina Sultanova, Elizaveta Vinogradova, Alisher Amantay, Ferdinand Molnár, Siamac Fazli
- Artificial Intelligence in the Life Sciences
- Readers: Everyone
On the Effect of Log-Mel Spectrogram Parameter Tuning for Deep Learning-Based Speech Emotion Recognition
Azamat Mukhamediya, Siamac Fazli, Amin Zollanvari
- Published: 01 Jan 2023, Last Modified: 22 Sept 2023
- IEEE Access 2023
- Readers: Everyone
A biologically-inspired evaluation of molecular generative machine learning
Elizaveta Vinogradova, Abay Artykbayev, Alisher Amanatay, Mukhamejan Karatayev, Maxim Mametkulov, Albina Li, Anuar Suleimenov, Abylay Salimzhanov, Karina Pats, Rustam Zhumagambetov, Ferdinand Molnár, Vsevolod Peshkov, Siamac Fazli
- CoRR 2022
- Readers: Everyone
MLT-LE: predicting drug-target binding affinity with multi-task residual neural networks
Elizaveta Vinogradova, Karina Pats, Ferdinand Molnár, Siamac Fazli
- CoRR 2022
- Readers: Everyone
A Review of Modern Approaches for Coronary Angiography Imaging Analysis
Maxim Popov, Temirgali Aimyshev, Eldar Ismailov, Ablay Bulegenov, Siamac Fazli
- CoRR 2022
- Readers: Everyone

View all 54 publications

Co-Authors

View all 109 co-authors